this post was submitted on 06 Feb 2026
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As far as my applications for open-sourcing goes, AI has actually done a good number on assisting it.
I'm a DIY sort of person, and use a lot of software for things like ESP32 boards to complete niche tasks. The problem is that very many applications just didn't have some preexisting code made for it, so it took a much larger load for me to try programming it by hand. In recent years, I've had a much easier time finding software for things, and sure enough, many of these projects have some mention or disclaimer about AI.
I know AI brings its own problems with it, namely that of code produced with lesser-optimized techniques, but the alternative I had to deal with was simply no premade code at all.
That being said, many of these projects did die out after AI was implemented, but not because the community was less interested, or the developers were less caring. These projects died because they reached their end goal, they did exactly what you needed it to do, no more or less. Far as I'm aware, that sounds like a successful outcome.
Kind of reminds me of people saying a small mom and pop "failed" because all it did was feed people for 30 years and brought enough money in for them to raise a family.
Like damn, yeah maybe it's not the fucking stone henge but it probably did more for people today then the pile of rocks.